On the packet similarity of real-time streaming services

Takumi Miyoshi, Kenji Sekiya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Multimedia streaming has recently become a dominant form of Internet traffic. Even in a live streaming environment, however, each end user independently connects to the server by unicast communication. It is thus essential to consider how to provide such services to many users while maintaining efficiency and scalability. To explore the potential of introducing multicast-like transmission mechanisms, we analyze the similarity in streamed data packets that are simultaneously transmitted to several end hosts in real-time video/audio services. The results show a significant level of similarity among the packets and, therefore, that multicast-like mechanisms could decrease streaming traffic.

Original languageEnglish
Title of host publicationInternational Conference on Intelligent Networking and Collaborative Systems, INCoS 2009
Pages265-266
Number of pages2
DOIs
Publication statusPublished - 2009 Dec 1
EventInternational Conference on Intelligent Networking and Collaborative Systems, INCoS 2009 - Barcelona, Spain
Duration: 2009 Nov 42009 Nov 6

Publication series

NameInternational Conference on Intelligent Networking and Collaborative Systems, INCoS 2009

Conference

ConferenceInternational Conference on Intelligent Networking and Collaborative Systems, INCoS 2009
CountrySpain
CityBarcelona
Period09/11/409/11/6

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Keywords

  • IPTV
  • Internet radio
  • Packet similarity
  • Streaming service
  • Traffic analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software
  • Electrical and Electronic Engineering

Cite this

Miyoshi, T., & Sekiya, K. (2009). On the packet similarity of real-time streaming services. In International Conference on Intelligent Networking and Collaborative Systems, INCoS 2009 (pp. 265-266). [5368807] (International Conference on Intelligent Networking and Collaborative Systems, INCoS 2009). https://doi.org/10.1109/INCOS.2009.47